Flexibility, Interpretability, and Scalability in Time Series Modeling

Neyman Seminar
Neyman Seminar
Oct 16, 2019 4:00pm to 5:00pm
1011 Evans Hall
Happening As Scheduled
We are increasingly faced with the need to analyze complex data streams; for example, sensor measurements from wearable devices have the potential to transform healthcare. Machine learning—and moreover deep learning—has brought many recent success stories to the analysis of complex sequential data sources, including speech, text, and video. However, these success stories involve a clear...
Emily Fox, University of Washington